Summary of Player Pressure Map — a Novel Representation Of Pressure in Soccer For Evaluating Player Performance in Different Game Contexts, by Chaoyi Gu et al.
Player Pressure Map – A Novel Representation of Pressure in Soccer for Evaluating Player Performance in Different Game Contexts
by Chaoyi Gu, Jiaming Na, Yisheng Pei, Varuna De Silva
First submitted to arxiv on: 29 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Applications (stat.AP)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers aim to develop a novel approach to measure the pressure experienced by possession teams in soccer games using tracking and event data, as well as game footage. By proposing a player pressure map, which reduces high-dimensional raw data while retaining contextual information, they enable coaches and analysts to visualize and evaluate team and individual performance under pressure. This model can also serve as a foundation for assessing players’ performance and making data-driven tactical decisions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps coaches understand how soccer players perform when it matters most – during games. The researchers created a special map that shows the pressure teams face, allowing them to see how well their players do under stress. This information can help teams train better and make smart decisions during games. |
Keywords
* Artificial intelligence * Tracking
